Informe de Perfil del DataFrame

Dataset statistics

Number of variables	20
Number of observations	10539
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	23
Duplicate rows (%)	0.2%
Total size in memory	1.7 MiB
Average record size in memory	168.0 B

Variable types

Numeric	9
Categorical	10
Text	1

Alerts

`parkingSpacePrice` has constant value "0"	Constant
Dataset has 23 (0.2%) duplicate rows	Duplicates
`propertyType` is highly imbalanced (70.0%)	Imbalance
`newDevelopment` is highly imbalanced (71.0%)	Imbalance
`newDevelopmentFinished` is highly imbalanced (96.2%)	Imbalance
`floor` has 1886 (17.9%) zeros	Zeros
`rooms` has 382 (3.6%) zeros	Zeros

Reproduction

Analysis started	2024-05-20 11:08:48.697274
Analysis finished	2024-05-20 11:09:00.876291
Duration	12.18 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

price
Real number (ℝ)

Distinct	1657
Distinct (%)	15.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	362684.83

Minimum	12000
Maximum	799900
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	164.7 KiB

Quantile statistics

Minimum	12000
5-th percentile	118100
Q1	195000
median	315000
Q3	502000
95-th percentile	749000
Maximum	799900
Range	787900
Interquartile range (IQR)	307000

Descriptive statistics

Standard deviation	200193.97
Coefficient of variation (CV)	0.55197778
Kurtosis	-0.7888905
Mean	362684.83
Median Absolute Deviation (MAD)	140000
Skewness	0.59659045
Sum	3.8223354 × 10⁹
Variance	4.0077624 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
350000	109	1.0%
650000	97	0.9%
450000	96	0.9%
750000	91	0.9%
175000	87	0.8%
250000	87	0.8%
550000	84	0.8%
220000	75	0.7%
290000	75	0.7%
699000	75	0.7%
Other values (1647)	9663	91.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12000	1	< 0.1%
26100	1	< 0.1%
48000	1	< 0.1%
50000	2	< 0.1%
50600	1	< 0.1%
50700	1	< 0.1%
51100	1	< 0.1%
51700	4	< 0.1%
52200	2	< 0.1%
52400	3	< 0.1%

Value	Count	Frequency (%)
799900	1	< 0.1%
799500	1	< 0.1%
799000	56	0.5%
798000	5	< 0.1%
797500	1	< 0.1%
795000	50	0.5%
794500	1	< 0.1%
792000	3	< 0.1%
790000	44	0.4%
789000	56	0.5%

floor
Real number (ℝ)

ZEROS

Distinct	26
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4193946

Minimum	-2
Maximum	60
Zeros	1886
Zeros (%)	17.9%
Negative	80
Negative (%)	0.8%
Memory size	164.7 KiB

Quantile statistics

Minimum	-2
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	6
Maximum	60
Range	62
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.4821679
Coefficient of variation (CV)	1.0259458
Kurtosis	35.300279
Mean	2.4193946
Median Absolute Deviation (MAD)	1
Skewness	3.2174514
Sum	25498
Variance	6.1611573
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
1	2690	25.5%
0	1886	17.9%
2	1698	16.1%
3	1534	14.6%
4	1124	10.7%
5	636	6.0%
6	373	3.5%
7	190	1.8%
8	103	1.0%
-1	79	0.7%
Other values (16)	226	2.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-2	1	< 0.1%
-1	79	0.7%
0	1886	17.9%
1	2690	25.5%
2	1698	16.1%
3	1534	14.6%
4	1124	10.7%
5	636	6.0%
6	373	3.5%
7	190	1.8%

Value	Count	Frequency (%)
60	1	< 0.1%
22	2	< 0.1%
21	3	< 0.1%
20	6	0.1%
19	2	< 0.1%
18	8	0.1%
17	13	0.1%
16	4	< 0.1%
15	12	0.1%
14	11	0.1%

propertyType
Categorical

IMBALANCE

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	164.7 KiB

flat	9400
penthouse	402
studio	351
duplex	284
chalet	102

Length

Max length	9
Median length	4
Mean length	4.3305816
Min length	4

Characters and Unicode

Total characters	45640
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	9400	89.2%
penthouse	402	3.8%
studio	351	3.3%
duplex	284	2.7%
chalet	102	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	9400	89.2%
penthouse	402	3.8%
studio	351	3.3%
duplex	284	2.7%
chalet	102	1.0%

Most occurring characters

Value	Count	Frequency (%)
t	10255	22.5%
l	9786	21.4%
a	9502	20.8%
f	9400	20.6%
e	1190	2.6%
u	1037	2.3%
o	753	1.6%
s	753	1.6%
p	686	1.5%
d	635	1.4%
Other values (5)	1643	3.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	45640	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	10255	22.5%
l	9786	21.4%
a	9502	20.8%
f	9400	20.6%
e	1190	2.6%
u	1037	2.3%
o	753	1.6%
s	753	1.6%
p	686	1.5%
d	635	1.4%
Other values (5)	1643	3.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	45640	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	10255	22.5%
l	9786	21.4%
a	9502	20.8%
f	9400	20.6%
e	1190	2.6%
u	1037	2.3%
o	753	1.6%
s	753	1.6%
p	686	1.5%
d	635	1.4%
Other values (5)	1643	3.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	45640	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	10255	22.5%
l	9786	21.4%
a	9502	20.8%
f	9400	20.6%
e	1190	2.6%
u	1037	2.3%
o	753	1.6%
s	753	1.6%
p	686	1.5%
d	635	1.4%
Other values (5)	1643	3.6%

size
Real number (ℝ)

Distinct	255
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	85.033077

Minimum	11
Maximum	619
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	164.7 KiB

Quantile statistics

Minimum	11
5-th percentile	38
Q1	60
median	78
Q3	103
95-th percentile	150
Maximum	619
Range	608
Interquartile range (IQR)	43

Descriptive statistics

Standard deviation	37.921095
Coefficient of variation (CV)	0.44595699
Kurtosis	14.375056
Mean	85.033077
Median Absolute Deviation (MAD)	21
Skewness	2.1877269
Sum	896163.6
Variance	1438.0094
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	252	2.4%
65	244	2.3%
70	240	2.3%
75	229	2.2%
80	221	2.1%
50	202	1.9%
100	169	1.6%
55	162	1.5%
90	160	1.5%
74	155	1.5%
Other values (245)	8505	80.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11	1	< 0.1%
14	1	< 0.1%
15	4	< 0.1%
17	2	< 0.1%
18	2	< 0.1%
19	4	< 0.1%
20	7	0.1%
21	9	0.1%
22	20	0.2%
23	6	0.1%

Value	Count	Frequency (%)
619	1	< 0.1%
558	1	< 0.1%
536	1	< 0.1%
480	1	< 0.1%
450	1	< 0.1%
429	1	< 0.1%
383	1	< 0.1%
361	1	< 0.1%
358	1	< 0.1%
354	1	< 0.1%

exterior
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	164.7 KiB

1	8164
0	2375

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10539
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	8164	77.5%
0	2375	22.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	8164	77.5%
0	2375	22.5%

Most occurring characters

Value	Count	Frequency (%)
1	8164	77.5%
0	2375	22.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	8164	77.5%
0	2375	22.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	8164	77.5%
0	2375	22.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	8164	77.5%
0	2375	22.5%

rooms
Real number (ℝ)

ZEROS

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3192903

Minimum	0
Maximum	9
Zeros	382
Zeros (%)	3.6%
Negative	0
Negative (%)	0.0%
Memory size	164.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	9
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.0652729
Coefficient of variation (CV)	0.45930985
Kurtosis	1.2801159
Mean	2.3192903
Median Absolute Deviation (MAD)	1
Skewness	0.33848285
Sum	24443
Variance	1.1348063
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	3782	35.9%
3	3406	32.3%
1	1834	17.4%
4	939	8.9%
0	382	3.6%
5	141	1.3%
6	34	0.3%
8	9	0.1%
7	9	0.1%
9	3	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	382	3.6%
1	1834	17.4%
2	3782	35.9%
3	3406	32.3%
4	939	8.9%
5	141	1.3%
6	34	0.3%
7	9	0.1%
8	9	0.1%
9	3	< 0.1%

Value	Count	Frequency (%)
9	3	< 0.1%
8	9	0.1%
7	9	0.1%
6	34	0.3%
5	141	1.3%
4	939	8.9%
3	3406	32.3%
2	3782	35.9%
1	1834	17.4%
0	382	3.6%

bathrooms
Real number (ℝ)

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.4535535

Minimum	0
Maximum	8
Zeros	6
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	164.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	2
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.60050071
Coefficient of variation (CV)	0.41312599
Kurtosis	2.8918323
Mean	1.4535535
Median Absolute Deviation (MAD)	0
Skewness	1.2518959
Sum	15319
Variance	0.3606011
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	6250	59.3%
2	3844	36.5%
3	389	3.7%
4	40	0.4%
5	8	0.1%
0	6	0.1%
8	1	< 0.1%
6	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6	0.1%
1	6250	59.3%
2	3844	36.5%
3	389	3.7%
4	40	0.4%
5	8	0.1%
6	1	< 0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
6	1	< 0.1%
5	8	0.1%
4	40	0.4%
3	389	3.7%
2	3844	36.5%
1	6250	59.3%
0	6	0.1%

district
Categorical

Distinct	21
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	164.7 KiB

Centro	1661
Barrio de Salamanca	824
Carabanchel	822
Tetuán	735
Ciudad Lineal	703
Other values (16)	5794

Length

Max length	19
Median length	17
Mean length	9.8888889
Min length	5

Characters and Unicode

Total characters	104219
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Villaverde
2nd row	Fuencarral
3rd row	Arganzuela
4th row	Puente de Vallecas
5th row	Barrio de Salamanca

Common Values

Value	Count	Frequency (%)
Centro	1661	15.8%
Barrio de Salamanca	824	7.8%
Carabanchel	822	7.8%
Tetuán	735	7.0%
Ciudad Lineal	703	6.7%
Puente de Vallecas	667	6.3%
Arganzuela	656	6.2%
Latina	460	4.4%
Chamberí	458	4.3%
Villaverde	437	4.1%
Other values (11)	3116	29.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	1716	11.4%
centro	1661	11.0%
vallecas	892	5.9%
barrio	824	5.5%
salamanca	824	5.5%
carabanchel	822	5.4%
tetuán	735	4.9%
ciudad	703	4.7%
lineal	703	4.7%
puente	667	4.4%
Other values (16)	5558	36.8%

Most occurring characters

Value	Count	Frequency (%)
a	17517	16.8%
e	11396	10.9%
r	8224	7.9%
n	7983	7.7%
l	7927	7.6%
t	4816	4.6%
	4566	4.4%
o	4165	4.0%
C	3986	3.8%
i	3860	3.7%
Other values (25)	29779	28.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	104219	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	17517	16.8%
e	11396	10.9%
r	8224	7.9%
n	7983	7.7%
l	7927	7.6%
t	4816	4.6%
	4566	4.4%
o	4165	4.0%
C	3986	3.8%
i	3860	3.7%
Other values (25)	29779	28.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	104219	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	17517	16.8%
e	11396	10.9%
r	8224	7.9%
n	7983	7.7%
l	7927	7.6%
t	4816	4.6%
	4566	4.4%
o	4165	4.0%
C	3986	3.8%
i	3860	3.7%
Other values (25)	29779	28.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	104219	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	17517	16.8%
e	11396	10.9%
r	8224	7.9%
n	7983	7.7%
l	7927	7.6%
t	4816	4.6%
	4566	4.4%
o	4165	4.0%
C	3986	3.8%
i	3860	3.7%
Other values (25)	29779	28.6%

neighborhood
Text

Distinct	131
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	164.7 KiB

Length

Max length	31
Median length	25
Mean length	11.843154
Min length	3

Characters and Unicode

Total characters	124815
Distinct characters	57
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	San Cristóbal
2nd row	Pilar
3rd row	Palos de Moguer
4th row	Palomeras Bajas
5th row	Lista

Value	Count	Frequency (%)
san	541	3.4%
lavapiés-embajadores	495	3.1%
de	486	3.1%
del	438	2.8%
malasaña-universidad	433	2.7%
vista	267	1.7%
	265	1.7%
goya	256	1.6%
puerta	245	1.5%
palacio	233	1.5%
Other values (162)	12170	76.9%

Most occurring characters

Value	Count	Frequency (%)
a	18127	14.5%
e	10904	8.7%
s	8990	7.2%
r	7632	6.1%
i	7582	6.1%
l	7335	5.9%
o	6991	5.6%
	5290	4.2%
n	5036	4.0%
d	4379	3.5%
Other values (47)	42549	34.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	124815	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	18127	14.5%
e	10904	8.7%
s	8990	7.2%
r	7632	6.1%
i	7582	6.1%
l	7335	5.9%
o	6991	5.6%
	5290	4.2%
n	5036	4.0%
d	4379	3.5%
Other values (47)	42549	34.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	124815	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	18127	14.5%
e	10904	8.7%
s	8990	7.2%
r	7632	6.1%
i	7582	6.1%
l	7335	5.9%
o	6991	5.6%
	5290	4.2%
n	5036	4.0%
d	4379	3.5%
Other values (47)	42549	34.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	124815	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	18127	14.5%
e	10904	8.7%
s	8990	7.2%
r	7632	6.1%
i	7582	6.1%
l	7335	5.9%
o	6991	5.6%
	5290	4.2%
n	5036	4.0%
d	4379	3.5%
Other values (47)	42549	34.1%

latitude
Real number (ℝ)

Distinct	10009
Distinct (%)	95.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.418927

Minimum	40.332238
Maximum	40.506087
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	164.7 KiB

Quantile statistics

Minimum	40.332238
5-th percentile	40.367384
Q1	40.395786
median	40.419328
Q3	40.438077
95-th percentile	40.476798
Maximum	40.506087
Range	0.1738495
Interquartile range (IQR)	0.04229105

Descriptive statistics

Standard deviation	0.033146053
Coefficient of variation (CV)	0.00082006268
Kurtosis	-0.24249605
Mean	40.418927
Median Absolute Deviation (MAD)	0.0212791
Skewness	0.067513552
Sum	425975.07
Variance	0.0010986608
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40.4679837	22	0.2%
40.4858604	15	0.1%
40.3677689	11	0.1%
40.4507677	11	0.1%
40.4627395	11	0.1%
40.41962	10	0.1%
40.4342056	10	0.1%
40.3739308	9	0.1%
40.3414344	9	0.1%
40.4614362	9	0.1%
Other values (9999)	10422	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
40.3322377	1	< 0.1%
40.3325827	1	< 0.1%
40.3327774	1	< 0.1%
40.333354	1	< 0.1%
40.3333909	1	< 0.1%
40.3333954	2	< 0.1%
40.3334364	1	< 0.1%
40.3339494	1	< 0.1%
40.3341865	1	< 0.1%
40.3343306	1	< 0.1%

Value	Count	Frequency (%)
40.5060872	1	< 0.1%
40.5057791	1	< 0.1%
40.505589	1	< 0.1%
40.5046934	1	< 0.1%
40.5045779	1	< 0.1%
40.5045573	1	< 0.1%
40.503504	1	< 0.1%
40.5026781	1	< 0.1%
40.5025537	1	< 0.1%
40.5025061	1	< 0.1%

longitude
Real number (ℝ)

Distinct	9984
Distinct (%)	94.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-3.6885828

Minimum	-3.8037169
Maximum	-3.5899988
Zeros	0
Zeros (%)	0.0%
Negative	10539
Negative (%)	100.0%
Memory size	164.7 KiB

Quantile statistics

Minimum	-3.8037169
5-th percentile	-3.7458699
Q1	-3.7086616
median	-3.6967106
Q3	-3.6671438
95-th percentile	-3.6219436
Maximum	-3.5899988
Range	0.2137181
Interquartile range (IQR)	0.0415178

Descriptive statistics

Standard deviation	0.035468867
Coefficient of variation (CV)	-0.0096158519
Kurtosis	0.077315897
Mean	-3.6885828
Median Absolute Deviation (MAD)	0.0213974
Skewness	0.19228403
Sum	-38873.975
Variance	0.0012580405
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-3.7086485	22	0.2%
-3.6686277	15	0.1%
-3.7079717	11	0.1%
-3.7690282	11	0.1%
-3.7591247	11	0.1%
-3.62887	10	0.1%
-3.6246509	10	0.1%
-3.7034353	9	0.1%
-3.6773425	9	0.1%
-3.6975181	9	0.1%
Other values (9974)	10422	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3.8037169	1	< 0.1%
-3.8016081	1	< 0.1%
-3.8011524	1	< 0.1%
-3.8004199	1	< 0.1%
-3.7993248	1	< 0.1%
-3.7970909	1	< 0.1%
-3.7965106	1	< 0.1%
-3.7961704	1	< 0.1%
-3.795635	1	< 0.1%
-3.7929282	1	< 0.1%

Value	Count	Frequency (%)
-3.5899988	1	< 0.1%
-3.591129	1	< 0.1%
-3.5919293	1	< 0.1%
-3.5919686	1	< 0.1%
-3.5925219	1	< 0.1%
-3.5928453	1	< 0.1%
-3.5934814	1	< 0.1%
-3.5938181	2	< 0.1%
-3.594511	1	< 0.1%
-3.5948268	1	< 0.1%

distance
Real number (ℝ)

Distinct	5944
Distinct (%)	56.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4252.4464

Minimum	13
Maximum	9991
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	164.7 KiB

Quantile statistics

Minimum	13
5-th percentile	650
Q1	2281.5
median	4062
Q3	6085.5
95-th percentile	8397
Maximum	9991
Range	9978
Interquartile range (IQR)	3804

Descriptive statistics

Standard deviation	2472.2708
Coefficient of variation (CV)	0.58137612
Kurtosis	-0.94556783
Mean	4252.4464
Median Absolute Deviation (MAD)	1873
Skewness	0.23874732
Sum	44816533
Variance	6112123
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5720	23	0.2%
8228	18	0.2%
7210	12	0.1%
482	11	0.1%
7562	11	0.1%
6304	11	0.1%
3808	11	0.1%
4997	10	0.1%
6931	10	0.1%
6973	10	0.1%
Other values (5934)	10412	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	1	< 0.1%
20	1	< 0.1%
37	1	< 0.1%
40	1	< 0.1%
42	1	< 0.1%
58	1	< 0.1%
60	1	< 0.1%
62	1	< 0.1%
66	1	< 0.1%
67	1	< 0.1%

Value	Count	Frequency (%)
9991	1	< 0.1%
9976	1	< 0.1%
9965	1	< 0.1%
9960	1	< 0.1%
9959	1	< 0.1%
9952	1	< 0.1%
9949	1	< 0.1%
9947	1	< 0.1%
9945	1	< 0.1%
9944	1	< 0.1%

status
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	164.7 KiB

good	8196
renew	1808
newdevelopment	535

Length

Max length	14
Median length	4
Mean length	4.6791916
Min length	4

Characters and Unicode

Total characters	49314
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	renew
2nd row	good
3rd row	good
4th row	good
5th row	good

Common Values

Value	Count	Frequency (%)
good	8196	77.8%
renew	1808	17.2%
newdevelopment	535	5.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
good	8196	77.8%
renew	1808	17.2%
newdevelopment	535	5.1%

Most occurring characters

Value	Count	Frequency (%)
o	16927	34.3%
d	8731	17.7%
g	8196	16.6%
e	5756	11.7%
n	2878	5.8%
w	2343	4.8%
r	1808	3.7%
v	535	1.1%
l	535	1.1%
p	535	1.1%
Other values (2)	1070	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	16927	34.3%
d	8731	17.7%
g	8196	16.6%
e	5756	11.7%
n	2878	5.8%
w	2343	4.8%
r	1808	3.7%
v	535	1.1%
l	535	1.1%
p	535	1.1%
Other values (2)	1070	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	16927	34.3%
d	8731	17.7%
g	8196	16.6%
e	5756	11.7%
n	2878	5.8%
w	2343	4.8%
r	1808	3.7%
v	535	1.1%
l	535	1.1%
p	535	1.1%
Other values (2)	1070	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	16927	34.3%
d	8731	17.7%
g	8196	16.6%
e	5756	11.7%
n	2878	5.8%
w	2343	4.8%
r	1808	3.7%
v	535	1.1%
l	535	1.1%
p	535	1.1%
Other values (2)	1070	2.2%

newDevelopment
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	164.7 KiB

0	10004
1	535

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10539
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10004	94.9%
1	535	5.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	10004	94.9%
1	535	5.1%

Most occurring characters

Value	Count	Frequency (%)
0	10004	94.9%
1	535	5.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	10004	94.9%
1	535	5.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	10004	94.9%
1	535	5.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	10004	94.9%
1	535	5.1%

hasLift
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	164.7 KiB

1	7107
0	3432

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10539
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	7107	67.4%
0	3432	32.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	7107	67.4%
0	3432	32.6%

Most occurring characters

Value	Count	Frequency (%)
1	7107	67.4%
0	3432	32.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	7107	67.4%
0	3432	32.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	7107	67.4%
0	3432	32.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	7107	67.4%
0	3432	32.6%

priceByArea
Real number (ℝ)

Distinct	4422
Distinct (%)	42.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4420.8243

Minimum	197
Maximum	16304
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	164.7 KiB

Quantile statistics

Minimum	197
5-th percentile	1764.8
Q1	2800
median	4067
Q3	5544
95-th percentile	8537
Maximum	16304
Range	16107
Interquartile range (IQR)	2744

Descriptive statistics

Standard deviation	2114.6684
Coefficient of variation (CV)	0.47834256
Kurtosis	0.98499972
Mean	4420.8243
Median Absolute Deviation (MAD)	1353
Skewness	0.98237171
Sum	46591067
Variance	4471822.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	82	0.8%
2500	37	0.4%
4000	36	0.3%
3000	32	0.3%
8500	31	0.3%
3750	31	0.3%
4500	30	0.3%
3500	30	0.3%
3333	26	0.2%
5500	25	0.2%
Other values (4412)	10179	96.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
197	1	< 0.1%
442	1	< 0.1%
596	1	< 0.1%
619	1	< 0.1%
626	1	< 0.1%
698	1	< 0.1%
771	1	< 0.1%
814	1	< 0.1%
836	1	< 0.1%
837	1	< 0.1%

Value	Count	Frequency (%)
16304	1	< 0.1%
14706	1	< 0.1%
14444	1	< 0.1%
13889	1	< 0.1%
13800	1	< 0.1%
13676	1	< 0.1%
13300	1	< 0.1%
13105	1	< 0.1%
12931	1	< 0.1%
12903	1	< 0.1%

newDevelopmentFinished
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	164.7 KiB

0	10497
1	42

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10539
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10497	99.6%
1	42	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	10497	99.6%
1	42	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	10497	99.6%
1	42	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	10497	99.6%
1	42	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	10497	99.6%
1	42	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	10497	99.6%
1	42	0.4%

hasParkingSpace
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	164.7 KiB

0	8410
1	2129

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10539
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	8410	79.8%
1	2129	20.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	8410	79.8%
1	2129	20.2%

Most occurring characters

Value	Count	Frequency (%)
0	8410	79.8%
1	2129	20.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	8410	79.8%
1	2129	20.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	8410	79.8%
1	2129	20.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	8410	79.8%
1	2129	20.2%

isParkingSpaceIncludedInPrice
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	164.7 KiB

0	8653
1	1886

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10539
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	8653	82.1%
1	1886	17.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	8653	82.1%
1	1886	17.9%

Most occurring characters

Value	Count	Frequency (%)
0	8653	82.1%
1	1886	17.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	8653	82.1%
1	1886	17.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	8653	82.1%
1	1886	17.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	8653	82.1%
1	1886	17.9%

parkingSpacePrice
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	164.7 KiB

0	10539

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10539
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10539	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	10539	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	10539	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	10539	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	10539	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10539	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	10539	100.0%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	price	floor	propertyType	size	exterior	rooms	bathrooms	district	neighborhood	latitude	longitude	distance	status	hasLift	priceByArea
1	91000.0	0	flat	85.0	1	3	2	Villaverde	San Cristóbal	40.343316	-3.692217	8212	renew	0	1071.0
2	279000.0	3	flat	129.0	1	2	2	Fuencarral	Pilar	40.473896	-3.708138	6373	good	1	2163.0
3	350000.0	1	flat	93.0	1	3	1	Arganzuela	Palos de Moguer	40.401887	-3.694255	1814	good	1	3763.0
4	70700.0	4	flat	113.0	1	3	2	Puente de Vallecas	Palomeras Bajas	40.381567	-3.654923	5657	good	1	626.0
5	249000.0	-1	flat	57.0	0	1	1	Barrio de Salamanca	Lista	40.430780	-3.674046	2926	good	1	4368.0
6	195000.0	1	chalet	70.0	0	2	1	San Blas	Simancas	40.429233	-3.626699	6627	good	0	2786.0
7	77400.0	0	flat	53.0	0	1	1	Vicálvaro	Casco Histórico de Vicálvaro	40.401111	-3.602548	8700	good	0	1460.0
8	420000.0	3	flat	80.0	1	2	1	Arganzuela	Acacias	40.402647	-3.713906	1804	good	1	5250.0
9	120000.0	4	flat	71.0	0	2	1	Carabanchel	Vista Alegre	40.388903	-3.734604	4074	good	0	1690.0
10	510000.0	0	flat	71.0	0	2	2	Barrio de Salamanca	Goya	40.424144	-3.678474	2254	good	1	7183.0

	price	floor	propertyType	size	exterior	rooms	bathrooms	district	neighborhood	latitude	longitude	distance	status	newDevelopment	hasLift	priceByArea	hasParkingSpace	isParkingSpaceIncludedInPrice
14540	719000.0	2	flat	73.0	0	2	2	Barrio de Salamanca	Goya	40.423817	-3.676264	2417	good	0	1	9849.0	0	0
14541	795000.0	5	penthouse	155.0	1	4	2	Centro	Lavapiés-Embajadores	40.412125	-3.707479	622	good	0	1	5129.0	0	0
14542	650000.0	0	flat	75.0	1	1	1	Centro	Huertas-Cortes	40.412238	-3.696491	757	good	0	0	8667.0	0	0
14543	299000.0	2	flat	122.0	1	3	2	Ciudad Lineal	Pueblo Nuevo	40.434271	-3.639791	5715	good	0	0	2451.0	1	1
14545	435000.0	0	flat	80.0	1	3	1	Centro	Malasaña-Universidad	40.423430	-3.706677	802	good	0	1	5438.0	0	0
14546	699000.0	1	flat	145.0	1	3	2	Hortaleza	Sanchinarro	40.496618	-3.651888	9891	good	0	1	4821.0	1	1
14547	299000.0	0	flat	105.0	1	3	1	Tetuán	Ventilla-Almenara	40.466234	-3.693056	5574	good	0	1	2848.0	0	0
14548	359900.0	2	flat	70.0	1	2	2	Tetuán	Valdeacederas	40.467390	-3.702384	5636	newdevelopment	1	1	5141.0	1	1
14549	306000.0	2	flat	95.0	1	2	2	Vicálvaro	Ambroz	40.407101	-3.604253	8448	newdevelopment	1	1	3221.0	0	0
14550	394900.0	0	flat	153.0	1	2	2	Tetuán	Valdeacederas	40.467390	-3.702384	5636	newdevelopment	1	1	2581.0	1	1

Most frequently occurring

	price	floor	propertyType	size	exterior	rooms	bathrooms	district	neighborhood	latitude	longitude	distance	status	hasLift	priceByArea	hasParkingSpace	isParkingSpaceIncludedInPrice	# duplicates
19	679000.0	3	flat	65.0	0	2	2	Barrio de Salamanca	Lista	40.429444	-3.671692	3023	good	1	10446.0	0	0	4
21	719000.0	2	flat	73.0	0	2	2	Barrio de Salamanca	Goya	40.423133	-3.677675	2280	good	1	9849.0	0	0	4
13	520000.0	4	flat	104.0	1	2	2	Arganzuela	Imperial	40.405127	-3.714282	1590	good	1	5000.0	1	0	3
0	145000.0	-1	studio	35.0	1	0	1	Centro	Lavapiés-Embajadores	40.413292	-3.702048	392	good	1	4143.0	0	0	2
1	160000.0	1	flat	54.0	0	1	1	Latina	Puerta del Ángel	40.406616	-3.733783	2817	good	1	2963.0	0	0	2
2	250000.0	4	flat	40.0	0	1	1	Centro	Malasaña-Universidad	40.425737	-3.709300	1127	renew	1	6250.0	0	0	2
3	255900.0	5	flat	80.0	1	3	1	Ciudad Lineal	Pueblo Nuevo	40.423878	-3.635420	5797	good	1	3199.0	0	0	2
4	274000.0	1	flat	113.0	1	3	2	Villaverde	Butarque	40.341434	-3.677342	8651	good	1	2425.0	1	1	2
5	319000.0	0	flat	50.0	1	1	1	Chamberí	Arapiles	40.436498	-3.711170	2301	good	1	6380.0	0	0	2
6	329900.0	3	flat	80.0	1	2	2	Ciudad Lineal	Colina	40.457567	-3.660459	5810	good	0	4124.0	0	0	2

Overview

Variables

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Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

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Most frequent character per block

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Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

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Most occurring characters

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Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

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(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

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Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters